Senior Machine Learning Engineer, Trust and Safety Algo - USDS
Listed on 2026-06-18
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Responsibilities
As part of the USDS (US Data Security) organization, our team operates within a highly secure, dedicated environment designed to protect US user data. We are looking for people like you with solid experience in designing and deploying state‑of‑the‑art models in the combination of NLP and CV‑related areas. This position will work with a team of excellent research scientists and machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them directly to Tik Tok's secure USDS platform.
You will have the unique opportunity to train and iterate advanced models using US protected data under strict compliance and security frameworks.
- Responsible for a whole sub‑module in moderation system or a research direction including but not limited to LLM and application in Safety, moderation system iteration.
- Work with team members to design next‑generation moderation systems with new technologies, tailored for USDS compliance and safety standards.
- Work on Neural Network models and LLM‑based models to solve Tik Tok online safety problems, leveraging US protected data in a secure and compliant training environment.
- Work with engineering teams to implement model pipelines and deploy the service at scale on USDS secure infrastructure.
- Collaborate with the product team to define objectives and improve trust and safety strategy while adhering to US data privacy regulations.
- Collaborate with data analysis to understand and find data patterns within protected data boundaries.
- Minimum of 3 years experience in one or more of the areas: machine learning, deep learning, computer vision, content understanding.
- BS/MS degree in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics or similar quantitative fields.
- Skilled in deep learning model training (CV/NLP/NN), serving, and optimization.
- Proficient in deep learning frameworks such as PyTorch and Tensor Flow.
- Hands‑on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas.
- Strong coding skills, especially in Python and similar languages.
- Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems.
- Experienced in large‑scale online machine learning platforms is preferred.
- Experience in training and deploying models within secure, compliant, or regulated data environments (e.g., handling protected data, privacy‑preserving machine learning) is a strong plus.
- Experiences in active learning, reinforcement learning, and LLM are a plus.
- Experience in trust and safety areas is a plus.
Tik Tok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm.
We safeguard the U.S. content ecosystem, holding decision‑making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
Job InformationThe base salary range for this position in the selected city is $136,800 - $359,720 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one…
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